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» Approximations in Distributed Optimization
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ICASSP
2011
IEEE
14 years 6 months ago
Optimal wireless networks based on local channel state information
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...
Yichuan Hu, Alejandro Ribeiro
ICONIP
2007
15 years 3 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 7 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
ATAL
2010
Springer
15 years 2 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
ASPDAC
2004
ACM
148views Hardware» more  ASPDAC 2004»
15 years 8 months ago
Optimal planning for mesh-based power distribution
— Robust power distribution within available routing area resources is critical to chip performance and reliability. In this paper, we propose a novel and efficient method for o...
Hongyu Chen, Chung-Kuan Cheng, Andrew B. Kahng, Ma...